Deepfake and Digital Citizenship

2021 ◽  
pp. 124-142
Author(s):  
Seda Gökçe Turan
Keyword(s):  
Artificial Intelligence ◽  
Dark Side ◽  
Digital Citizenship ◽  
Long Term Effects ◽  
The Public ◽  
Protection Method

Artificial intelligence technologies are beneficial for individuals' lives, but those technologies are also sources of mass and chaos. Due to hyper-realistic videos based on artificial intelligence, deepfakes have effects on the public and individuals in terms of manipulation. Researchers try to warn the public and individuals about the threats and harms of these technologies. Moreover, users cannot distinguish whether it is real and fake. As it is known, children and youths are vulnerable to the dark side of technology. So, for risks and harms of technology, digital citizenship is advised as a protection method. In this chapter, the long-term effects of digital citizenship in terms of protecting children and youths from the dangers and threats of deepfakes will be discussed in depth.

scholarly journals Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off

2020 ◽  
pp. 1-19
Author(s):  
SAM DESIERE ◽  
LUDO STRUYVEN
Keyword(s):  
Artificial Intelligence ◽  
Maximum Level ◽  
Employment Services ◽  
Trade Off ◽  
The Public ◽  
Foreign Origin ◽  
Trade Offs ◽  
Graphical Tool ◽  
The Cost

Abstract Artificial intelligence (AI) is increasingly popular in the public sector to improve the cost-efficiency of service delivery. One example is AI-based profiling models in public employment services (PES), which predict a jobseeker’s probability of finding work and are used to segment jobseekers in groups. Profiling models hold the potential to improve identification of jobseekers at-risk of becoming long-term unemployed, but also induce discrimination. Using a recently developed AI-based profiling model of the Flemish PES, we assess to what extent AI-based profiling ‘discriminates’ against jobseekers of foreign origin compared to traditional rule-based profiling approaches. At a maximum level of accuracy, jobseekers of foreign origin who ultimately find a job are 2.6 times more likely to be misclassified as ‘high-risk’ jobseekers. We argue that it is critical that policymakers and caseworkers understand the inherent trade-offs of profiling models, and consider the limitations when integrating these models in daily operations. We develop a graphical tool to visualize the accuracy-equity trade-off in order to facilitate policy discussions.

scholarly journals A mechanistic model for long-term immunological outcomes in South African HIV-infected children and adults receiving ART

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Eva Liliane Ujeneza ◽  
Wilfred Ndifon ◽  
Shobna Sawry ◽  
Geoffrey Fatti ◽  
Julien Riou ◽  
...  
Keyword(s):  
T Cell ◽  
Mechanistic Model ◽  
Health Sector ◽  
Cd4 Count ◽  
Cd4 T Cell ◽  
Long Term Effects ◽  
The Public ◽  
Art Initiation ◽  
Cell Counts

Long-term effects of the growing population of HIV-treated people in Southern Africa on individuals and the public health sector at large are not yet understood. This study proposes a novel ‘ratio’ model that relates CD4+ T-cell counts of HIV-infected individuals to the CD4+ count reference values from healthy populations. We use mixed-effects regression to fit the model to data from 1616 children (median age 4.3 years at ART initiation) and 14,542 adults (median age 36 years at ART initiation). We found that the scaled carrying capacity, maximum CD4+ count relative to an HIV-negative individual of similar age, and baseline scaled CD4+ counts were closer to healthy values in children than in adults. Post-ART initiation, CD4+ growth rate was inversely correlated with baseline CD4+ T-cell counts, and consequently higher in adults than children. Our results highlight the impacts of age on dynamics of the immune system of healthy and HIV-infected individuals.

scholarly journals The Public Debt of Latvia: Short-Term and Long-Terms Aspects

2017 ◽  
Author(s):  
Staņislavs Keišs ◽  
Alla Seregina
Keyword(s):  
Public Debt ◽  
Debt Management ◽  
Annual Reports ◽  
Long Term Effects ◽  
Debt Overhang ◽  
The Public ◽  
High Level ◽  
Criteria For Evaluation ◽  
The Eu

The article investigates the structure and dynamics of public debt of Latvia for the period from 2006–2016 year. The relevance of the study long-term effects of public debt on the economy of Latvia is predetermined by a significant increase in its volume of low GDP growth rates in recent years. This article discusses conceptual approaches and criteria for evaluation of the public debt. An analysis of the main reasons for the growth of public debt of Latvia after joining the EU, considers its specific characteristics and consequences as compared with the more developed EU countries on the basis of these annual reports of Latvia Treasury over the past ten years. Analysis of the structure of the debt of Latvia on maturity shows that an effective public debt management necessarily involves consideration of the long-term effects of the growth of public debt to the public. High level of the external indebtedness in the structure of Latvian public debt is a factor of the growth of “debt overhang” even following Maastricht criterions of public debt. As a result of the research is justification of differentiated approach necessity to the evaluation of public debt with considering of intertemporal effects.

scholarly journals Digital Discretion: Unpacking Human and Technological Agency in Automated Decision Making in Sweden’s Social Services

2020 ◽  
pp. 089443932098043
Author(s):  
Agneta Ranerup ◽  
Helle Zinner Henriksen
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Social Services ◽  
Civil Servants ◽  
Future Research ◽  
Long Term Effects ◽  
The Public ◽  
Automated Decision Making ◽  
New Situation

The introduction of robotic process automation (RPA) into the public sector has changed civil servants’ daily life and practices. One of these central practices in the public sector is discretion. The shift to a digital mode of discretion calls for an understanding of the new situation. This article presents an empirical case where automated decision making driven by RPA has been implemented in social services in Sweden. It focuses on the aspirational values and effects of the RPA in social services. Context, task, and activities are captured by a detailed analysis of humans and technology. This research finds that digitalization in social services has a positive effect on civil servants’ discretionary practices mainly in terms of their ethical, democratic, and professional values. The long-term effects and the influence on fair and uniform decision making also merit future research. In addition, the article finds that a human–technology hybrid actor redefines social assistance practices. Simplifications are needed to unpack the automated decision-making process because of the technological and theoretical complexities.

Physical Health of Members of the Public Who Experienced Terrorist Bombings in London on 07 July 2005

2010 ◽  
Vol 25 (2) ◽  
pp. 139-144 ◽  
Author(s):  
Michael A. Catchpole ◽  
Oliver Morgan
Keyword(s):  
Physical Health ◽  
Health Effects ◽  
Response Rate ◽  
Long Term Effects ◽  
Health Symptoms ◽  
The Public ◽  
Number Of Patients ◽  
London Bombings

AbstractIntroduction:On 07 July 2005, four bombs were detonated in London, killing 52 members of the public. Approximately 700 individuals received treatment either at the scene or at nearby hospitals.Hypothesis/Problem:Significant concerns about the potential long-term psychological and physical health effects of exposure to the explosions were raised immediately after the bombings. To address these concerns, a public health register was established for the purpose of following-up with individuals exposed to the explosions.Methods:Invitations to enroll in the register were sent to individuals exposed to the explosions. A range of health, emergency, and humanitarian service records relating to the response to the explosions were used to identify eligible individuals. Follow-up was undertaken through self-administered questionnaires. The number of patients exposed to fumes, smoke, dust, and who experienced blood splashes, individuals who reported injuries, and the type and duration of health symptoms were calculated. Odds ratios of health symptoms by exposure for greater or less than 30 minutes were calculated.Results:A total of 784 eligible individuals were identified, of whom, 258 (33%) agreed to participate in the register, and 173 (22%) returned completed questionnaires between 8 to 23 months after the explosions. The majority of individuals reported exposure to fumes, smoke, or dust, while more than two-fifths also reported exposure to blood. In addition to cuts and puncture wounds, the most frequent injury was ear damage. Most individuals experienced health symptoms for less than four weeks, with the exception of hearing problems, which lasted longer. Four-fifths of individuals felt that they had suffered emotional distress and half of them were receiving counseling.Conclusions:The results indicated that the main long-term health effects, apart from those associated with traumatic amputations, were hearing loss and psychological disorders. While these findings provide a degree of reassurance of the absence of long-term effects, the low response rate limits the extent to which this can be extrapolated to all those exposed to the bombings. Given the importance of immediate assessment of the range and type of exposure and injury in incidents such as the London bombings, and the difficulties in contacting individuals after the immediate response phase, there is need to develop better systems for identifying and enrolling exposed individuals into post-incident health monitoring.

Blogging under Behemoth

2014 ◽  
pp. 88-111
Author(s):  
Sean Clark
Keyword(s):  
Political Competition ◽  
Communications Technology ◽  
Long Term Effects ◽  
Post Colonial ◽  
The Public ◽  
Independent States ◽  
Internet Connections ◽  
Established Democracies ◽  
Newly Independent States

The solution to the fragility and instability that accompanied Africa's newly independent states was widely seen as the adoption of strong, unrivalled political leadership. Politics needed to be uncompetitive; there was to be none of the jockeying for power between rival parties witnessed in older, more well-established democracies. This path, however, soon proved disastrous. Time and time again, the absence of a viable political opposition allowed leaders to run roughshod over the public good. Real incomes fell as a tiny kleptocratic elite enriched themselves at the national expense. Since 1989, however, Africa has witnessed a remarkable liberalization of political competition. Opposition parties have in most places been granted newfound freedom to politick, and have on occasion won elections outright. Some argue this is at least in part the product of the diffusion of communications technology. They contend such devices facilitate political activism and organization, fostering political competition in its wake. To test this hypothesis, continent-wide data on the spread of landline telephones, wireless handsets, and Internet connections has been marshalled, then contrasted against the level of political competition in Africa throughout the post-colonial period. The findings in this chapter suggest that while communications technology may serve as a boon to the cause of political competition immediately following first introduction, its long-term effects are likely to be limited.

scholarly journals An analysis of COVID-19 economic measures and attitudes: evidence from social media mining

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dorota Domalewska
Keyword(s):  
Social Media ◽  
Public Perception ◽  
Online Discussion ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Long Term Effects ◽  
The Public ◽  
Public Sentiment ◽  
Negative Sentiment

AbstractThis paper explores the public perception of economic measures implemented as a reaction to the COVID-19 pandemic in Poland in March–June 2020. A mixed-method approach was used to analyse big data coming from tweets and Facebook posts related to the mitigation measures to provide evidence for longitudinal trends, correlations, theme classification and perception. The online discussion oscillated around political and economic issues. The implementation of the anti-crisis measures triggered a barrage of criticism pointing out the shortcomings and ineffectiveness of the solutions. The revised relief legislation was accompanied by a wide-reaching informative campaign about the relief package, which decreased negative sentiment. The analysis also showed that with regard to online discussion about risk mitigation, social media users are more concerned about short-term economic and social effects rather than long-term effects of the pandemic. The findings have significant implications for the understanding of public sentiment related to the COVID-19 pandemic, economic attitudes and relief support implemented to fight the adverse effects of the pandemic.

scholarly journals Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration

2018 ◽  
Vol 376 (2128) ◽  
pp. 20170357 ◽  
Author(s):  
Slava Jankin Mikhaylov ◽  
Marc Esteve ◽  
Averill Campion
Keyword(s):  
Artificial Intelligence ◽  
Public Sector ◽  
Data Science ◽  
Grand Challenge ◽  
Public And Private ◽  
The Public ◽  
Using Data ◽  
The Uk ◽  
High Uncertainty

Public sector organizations are increasingly interested in using data science and artificial intelligence capabilities to deliver policy and generate efficiencies in high-uncertainty environments. The long-term success of data science and artificial intelligence (AI) in the public sector relies on effectively embedding it into delivery solutions for policy implementation. However, governments cannot do this integration of AI into public service delivery on their own. The UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and the public and private sectors. This cross-sectoral collaborative approach is the norm in applied AI centres of excellence around the world. Despite their popularity, cross-sector collaborations entail serious management challenges that hinder their success. In this article we discuss the opportunities for and challenges of AI for the public sector. Finally, we propose a series of strategies to successfully manage these cross-sectoral collaborations.This article is part of a discussion meeting issue ‘The growing ubiquity of algorithms in society: implications, impacts and innovations’.

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